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Implications of Color Models in Image Processing for Fire Detection

by M. Senthil Vadivu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 35
Year of Publication: 2018
Authors: M. Senthil Vadivu

M. Senthil Vadivu . Implications of Color Models in Image Processing for Fire Detection. International Journal of Computer Applications. 179, 35 ( Apr 2018), 38-41. DOI=10.5120/ijca2018916801

@article{ 10.5120/ijca2018916801,
author = { M. Senthil Vadivu },
title = { Implications of Color Models in Image Processing for Fire Detection },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 179 },
number = { 35 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 38-41 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2018916801 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:57:31.652066+05:30
%A M. Senthil Vadivu
%T Implications of Color Models in Image Processing for Fire Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 35
%P 38-41
%D 2018
%I Foundation of Computer Science (FCS), NY, USA

Detecting fire in the image is the recent research area in image rocessing.Fire causes damage to the environment , forest eco-system, economy and devastation to life and property. Identifying fire in the early hours helps to decrease the damage and rescued from the risks. Traditional fire detecting methods are less capable to detect fire perfectly.Computer vision based methodologies has more reward on conventional algorithms in terms of accuracy and false alarms.Color models plays major role in recognizing fire pixels in the image.This paper portraits the implications of different color models employed in fire detection.

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Index Terms

Computer Science
Information Sciences


Image Processing Fire detection Color Models